Healthcare resource use and costs for people with type 2 diabetes mellitus with and without severe mental illness in England: longitudinal matched-cohort study using the Clinical Practice Research Datalink

Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England

OBJECTIVES

This study examines clinically confirmed long-COVID symptoms and diagnosis among individuals with COVID in England, aiming to understand prevalence and associated risk factors using electronic health records. To further understand long COVID, the study also explored differences in risks and symptom profiles in three subgroups: hospitalised, non-hospitalised, and untreated COVID cases.

METHODS

A population-based longitudinal cohort study was conducted using data from 1,554,040 individuals with confirmed SARS-CoV-2 infection via Clinical Practice Research Datalink. Descriptive statistics explored the prevalence of long COVID symptoms 12 weeks post-infection, and Cox regression models analysed the associated risk factors. Sensitivity analysis was conducted to test the impact of right-censoring data.

RESULTS

During an average 400-day follow-up, 7.4% of individuals with COVID had at least one long-COVID symptom after acute phase, yet only 0.5% had long-COVID diagnostic codes. The most common long-COVID symptoms included cough (17.7%), back pain (15.2%), stomach-ache (11.2%), headache (11.1%), and sore throat (10.0%). The same trend was observed in all three subgroups. Risk factors associated with long-COVID symptoms were female sex, non-white ethnicity, obesity, and pre-existing medical conditions like anxiety, depression, type II diabetes, and somatic symptom disorders.

CONCLUSIONS

This study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.

Non-Pharmacological Interventions for Type 2 Diabetes in People Living with Severe Mental Illness: Results of a Systematic Review and Meta-Analysis

BACKGROUND

People with serious mental illnesses (SMIs) such as schizophrenia and bipolar disorder die up to 30 years younger than individuals in the general population. Premature mortality among this population is often due to medical comorbidities, such as type 2 diabetes (T2D). Being a disease directly related to diet, adverse lifestyle choices, and side effects of psychotropic medication, an effective approach to T2D treatment and management could be non-pharmacological interventions. This systematic review and meta-analysis (1) summarise the current evidence base for non-pharmacological interventions (NPI) for diabetes management in people living with SMI and (2) evaluate the effect of these interventions on diverse health outcomes for people with SMI and comorbid diabetes.

METHODS

Six databases were searched to identify relevant studies: PubMed (MEDLINE), PsycINFO, Embase, Scopus, CINAHL, and Web of Science. Studies were included if they reported on non-pharmacological interventions targeted at the management of T2D in people living with SMI. To be eligible, studies had to further involve a control group or report multiple time points of data in the same study population. Whenever there were enough interventions reporting data on the same outcome, we also performed a meta-analysis.

RESULTS

Of 1867 records identified, 14 studies were included in the systematic review and 6 were also eligible for meta-analysis. The results showed that there was a reduction, although not significant, in glycated haemoglobin (HbA1c) in the NPI group compared with the control, with a mean difference of -0.14 (95% CI, -0.42, 0.14, p = 0.33). Furthermore, NPI did not significantly reduce fasting blood glucose in these participants, with a mean difference of -17.70 (95% CI, -53.77, 18.37, p = 0.34). However, the meta-analysis showed a significant reduction in psychiatric symptoms: BPRS score, -3.66 (95% CI, -6.8, -0.47, p = 0.02) and MADRS score, -2.63 (95% CI, -5.24, -0.02, p = 0.05). NPI also showed a significant reduction in the level of total cholesterol compared with the control, with a mean difference of -26.10 (95% CI, -46.54, -5.66, p = 0.01), and in low-density lipoprotein (LDL) cholesterol compared with control, with a standardised mean difference of -0.47 (95% CI, -0.90, -0.04, p = 0.03). NPI did not appear to have significant effect (p > 0.05) on body mass index (BMI), health-related quality of life (HRQL), triglycerides, and high-density lipoprotein cholesterol compared with control.

CONCLUSIONS

This systematic review and meta-analysis demonstrated that NPI significantly (p < 0.05) reduced psychiatric symptoms, levels of total cholesterol, and LDL cholesterol in people with type 2 diabetes and SMI. While non-pharmacological interventions also reduced HbA1c, triglyceride, and BMI levels and improved quality of life in these people, the effects were not significant (p > 0.05).

Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study

OBJECTIVE

Due to heterogeneity and limited medical data in primary healthcare services (PHS), assessing the psychological risk of type 2 diabetes mellitus (T2DM) patients in PHS is difficult. Using unsupervised contrastive pre-training, we proposed a deep learning framework named depression and anxiety prediction (DAP) to predict depression and anxiety in T2DM patients.

MATERIALS AND METHODS

The DAP model consists of two sub-models. Firstly, the pre-trained model of DAP used unlabeled discharge records of 85 085 T2DM patients from the First Affiliated Hospital of Nanjing Medical University for unsupervised contrastive learning on heterogeneous electronic health records (EHRs). Secondly, the fine-tuned model of DAP used case-control cohorts (17 491 patients) selected from 149 596 T2DM patients' EHRs in the Nanjing Health Information Platform (NHIP). The DAP model was validated in 1028 patients from PHS in NHIP. Evaluation included receiver operating characteristic area under the curve (ROC-AUC) and precision-recall area under the curve (PR-AUC), and decision curve analysis (DCA).

RESULTS

The pre-training step allowed the DAP model to converge at a faster rate. The fine-tuned DAP model significantly outperformed the baseline models (logistic regression, extreme gradient boosting, and random forest) with ROC-AUC of 0.91±0.028 and PR-AUC of 0.80±0.067 in 10-fold internal validation, and with ROC-AUC of 0.75 ± 0.045 and PR-AUC of 0.47 ± 0.081 in external validation. The DCA indicate the clinical potential of the DAP model.

CONCLUSION

The DAP model effectively predicted post-discharge depression and anxiety in T2DM patients from PHS, reducing data fragmentation and limitations. This study highlights the DAP model's potential for early detection and intervention in depression and anxiety, improving outcomes for diabetes patients.

The cost of primary care consultations associated with long COVID in non-hospitalised adults: a retrospective cohort study using UK primary care data

BACKGROUND

The economic impact of managing long COVID in primary care is unknown. We estimated the costs of primary care consultations associated with long COVID and explored the relationship between risk factors and costs.

METHODS

Data were obtained on non-hospitalised adults from the Clinical Practice Research Datalink Aurum primary care database. We used propensity score matching with an incremental cost method to estimate additional primary care consultation costs associated with long COVID (12 weeks after COVID-19) at an individual and UK national level. We applied multivariable regression models to estimate the association between risk factors and consultations costs beyond 12 weeks from acute COVID-19.

RESULTS

Based on an analysis of 472,173 patients with COVID-19 and 472,173 unexposed individuals, the annual incremental cost of primary care consultations associated with long COVID was £2.44 per patient and £23,382,452 at the national level. Among patients with COVID-19, a long COVID diagnosis and reporting of longer-term symptoms were associated with a 43% and 44% increase in primary care consultation costs respectively, compared to patients without long COVID symptoms. Older age, female sex, obesity, being from a white ethnic group, comorbidities and prior consultation frequency were all associated with increased primary care consultation costs.

CONCLUSIONS

The costs of primary care consultations associated with long COVID in non-hospitalised adults are substantial. Costs are significantly higher among those diagnosed with long COVID, those with long COVID symptoms, older adults, females, and those with obesity and comorbidities.

UK cost-effectiveness analysis of endoscopic sleeve gastroplasty versus lifestyle modification alone for adults with class II obesity

BACKGROUND

Endoscopic sleeve gastroplasty (ESG) is a minimally invasive procedure that has been demonstrated in the MERIT randomised, controlled trial to result in substantial and durable additional weight loss in adults with obesity compared with lifestyle modification (LM) alone. We sought to conduct the first cost-effectiveness analysis of ESG versus LM alone in adults with class II obesity (BMI 35.0-39.9 kg/m2) from a national healthcare system perspective in England based on results from this study.

METHODS

A 6-state Markov model was developed comprising 5 BMI-based health states and an absorbing death state. Baseline characteristics, utilities, and transition probabilities were informed by patient-level data from the subset of patients with class II obesity in MERIT. Adverse events (AEs) were based on the MERIT safety population. Mortality was estimated by applying BMI-specific hazard ratios from the published literature to UK general population mortality rates. Utilities for the healthy weight and overweight health states were informed from the literature; disutility associated with increasing BMI in the class I-III obesity health states was estimated using MERIT utility data. Disutility due to AEs and the prevalence of obesity-related comorbidities were based on the literature. Costs included intervention costs, AE costs, and comorbidity costs.

RESULTS

ESG resulted in higher overall costs than LM alone but led to an increase in quality-adjusted life years (QALYs). The incremental cost-effectiveness ratio (ICER) for ESG vs LM alone was £2453/QALY gained. ESG was consistently cost effective across a wide range of sensitivity analyses, with no ICER estimate exceeding £10,000/QALY gained. In probabilistic sensitivity analysis, the mean ICER was £2502/QALY gained and ESG remained cost effective in 98.25% of iterations at a willingness-to-pay threshold of £20,000/QALY.

CONCLUSION

Our study indicates that ESG is highly cost effective versus LM alone for the treatment of adults with class II obesity in England.

Cross-sectional analyses of online appointment booking and repeat prescription ordering user characteristics in general practices of England in the years 2018-2020

OBJECTIVES

To explore the characteristics of the General Practice Patient Survey (GPPS) respondents using the different functionalities of the online services in the context of England's National Health Service General Practices. We hypothesised that respondents who are older, with lower socioeconomic status and non-white ethnicity would be less likely to use online services, while long-term conditions might increase their usage.

DESIGN

Cross-sectional study using respondent-level data from the GPPS in England of the years 2018, 2019 and 2020. We assessed the association between online services use and respondent characteristics using two-level mixed-effects logistic regression.

PARTICIPANTS

Survey respondents of the GPPS 2018-2020.

PRIMARY OUTCOME MEASURES

Online appointment booking and online repeat prescription ordering.

RESULTS

1 807 049 survey respondents were included in this study. 15% (n=263 938) used online appointment booking in the previous 12 months, and 19% (n=339 449) had ordered a repeat prescription in the previous 12 months. Respondents with a long-term condition, on regular multiple medications, who have deafness or hearing loss and who are from the lowest deprivation quintile were more likely to have used online services. Male respondents (compared with females) and respondents with black and other ethnicity compared with white ethnicity were less likely to use online services. Respondents over 85 years old were less likely to use online appointment booking and online repeat prescription ordering compared with the younger age groups.

CONCLUSIONS

Specific groups of respondents were more likely to use online services such as patients with long-term conditions or those with deafness or hearing loss. While online services could provide efficiency to patients and practices it is essential that alternatives continue to be provided to those that cannot use or choose not to use online services. Understanding the different patients' needs could inform solutions to increase the uptake and use of the services.

An integrated care model for mental health in diabetes: Recommendations for local implementation by the Diabetes and Mental Health Expert Working Group in England

CONTEXT

In 2019, NHS England and Diabetes UK convened an Expert Working Group (EWG) in order to develop a Model and recommendations to guide commissioning and provision of mental health care in diabetes pathways and diabetes care in mental health pathways. The recommendations are based on a combination of evidence, national guidance, case studies and expert opinion from across the UK and form other long term conditions.

THE CASE FOR INTEGRATION

There is good the evidence around the high prevalence of co-morbidity between diabetes and mental illness of all severities and, the poorer diabetes and mental health outcomes for patients when this co-morbidity exists. Detecting and managing the mental health co-morbidity improves these outcomes, but the evidence suggests that detection of mental illness is poor in the context of diabetes care in community and acute care settings and that when it is detected, the access to appropriate mental health resource is variable and generally inadequate.

THE MODEL OF INTEGRATED CARE FOR DIABETES

The EWG developed a one-page Model with five core principles and five operational work-streams to support the delivery of integration, with examples of local case studies for local implementation. The five core principals are: Care for all-describing how care for all PWD needs to explore what matters to them and that emotional wellbeing is supported at diagnosis and beyond; Support and information-describing how HCPs should appropriately signpost to mental health support and the need for structured education programmes to include mental healthcare information; Needs identified-describing how PWD should have their mental health needs identified and acted on; Integrated care-describing how people with mental illness and diabetes should have their diabetes considered within their mental health care; Specialist care-describing how PWD should be able to access specialist diabetes mental health professionals. The five cross cutting work-streams for operationalising the principles are: Implementing training and upskilling of HCPs; Embedding mental health screening and assessment into diabetes pathways; Ensuring access to clear, integrated local pathways; Ensuring addressing health inequalities is incorporated at every stage of service development; Improving access to specialist mental health services through commissioning.

DISCUSSION AND CONCLUSIONS

The Model can be implemented in part or completely, at an individual level, all the way up to system level. It can be adapted across the life span and the UK, and having learnt from other long term conditions, there is a lot of transferability across all long term conditions There is an opportunity for ICBs to consider economies of scale across multiple long term conditions for which there will be a significant overlap of patients within the local population. Any local implementation should be in co-production with experts by experience and third sector providers.

The health care cost of comorbidity in individuals with mental disorders: A Danish register-based study

AIM

The aim of the study was to estimate the annual health care cost by number of comorbid mental and somatic disorders in persons with a mental disorder.

METHODS

All persons living in Denmark between 2004 and 2017 with a hospital diagnosis of a mental disorder were identified. We investigated the cost of different health care services: psychiatric hospitals, somatic hospitals, primary health care (e.g. general practitioners, psychologists and so on) and subsidised prescriptions. Within those with at least one mental disorder, we examined the costs for people with (a) counts of different types of mental disorders (e.g. exactly 1, exactly 2 and so on up to 8 or more) and (b) counts of different types of somatic disorders (e.g. no somatic disorders, exactly 1, exactly 2 and so on up to 15 or more). The estimates are reported in average cost per case and nationwide annual cost in Euro 2017.

RESULTS

In total, 447,209 persons (238,659 females and 208,550 males) were diagnosed with at least one mental disorder in the study period. The average annual health care cost per case and nationwide cost was 4471 Euros and 786 million Euro, respectively, for persons with exactly one mental disorder, and 33,273 Euro and 3.6 million Euro for persons with eight or more mental disorders. The annual health care cost was 4613 Euro per case and 386 million Euro for persons without any somatic disorders, while the cost per case was 16,344 Euro and 0.7 million Euro in nationwide cost for persons with 15 or more disorders. The amount and proportion of the different health care costs varied by type of comorbidity and count of disorders.

CONCLUSIONS

The annual health care cost per case was higher with increasing number of comorbid mental and somatic disorders, while the nationwide annual health care cost was lower with increasing number of comorbid disorders for persons with a mental disorder in Denmark.